A Comparison of Maritime Risk Perception and Accident Statistics in the Istanbul Straight

The Istanbul Strait is a challenging waterway for maritime traffic due to its rough topology, moderate to severe environmental conditions, and heavy local traffic. In particular, a total of 232 maritime accidents took place there between 2000 and 2011. In this study, generic fuzzy analytic hierarchy processes were used to assess the risk perception of stakeholders in the Istanbul Strait, including ship captains, maritime pilots and Vessel Traffic Services operators. These risk perceptions were then compared to the statistical maritime accident data, revealing a fundamental discrepancy between the risk perception and statistical data. Specifically, the area of the Straight with the highest number of accidents is perceived as relatively low-risk, whereas areas perceived as high-risk experience a lower number of accidents. Our results have implications for stakeholders as well as government agencies responsible for the safety of the Straight.

[1]  W. Pedrycz,et al.  A fuzzy extension of Saaty's priority theory , 1983 .

[2]  D. Chang Applications of the extent analysis method on fuzzy AHP , 1996 .

[3]  Alev Taskin Gumus,et al.  Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology , 2009, Expert Syst. Appl..

[4]  Colin Powell,et al.  The Perception of Risk and Risk Taking Behavior: Implications for Incident Prevention Strategies , 2007, Wilderness & environmental medicine.

[5]  T. L. Saaty A Scaling Method for Priorities in Hierarchical Structures , 1977 .

[6]  M. E. Birpınar,et al.  Environmental effects of maritime traffic on the İstanbul Strait , 2009, Environmental monitoring and assessment.

[7]  Ilhan Or,et al.  A simulation study of the accident risk in the Istanbul Channel , 2002 .

[8]  N. Akten Analysis of Shipping Casualties in the Bosphorus , 2004, Journal of Navigation.

[9]  Ching-Hsue Cheng Evaluating naval tactical missile systems by fuzzy AHP based on the grade value of membership function , 1997 .

[10]  T. Saaty Fundamentals of Decision Making and Priority Theory With the Analytic Hierarchy Process , 2000 .

[11]  Okan Duru,et al.  Regime switching fuzzy AHP model for choice-varying priorities problem and expert consistency prioritization: A cubic fuzzy-priority matrix design , 2012, Expert Syst. Appl..

[12]  J. Buckley,et al.  Fuzzy hierarchical analysis , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[13]  Ebru Narli,et al.  Assessment of manoeuvring performance of large tankers in restricted waterways: a real-time simulation approach , 2003 .

[14]  B Fischhoff,et al.  Traffic accident statistics and risk perceptions in Japan and the United States. , 2000, Accident; analysis and prevention.

[15]  Tayfur Altiok,et al.  Risk Analysis of the Vessel Traffic in the Strait of Istanbul , 2009, Risk analysis : an official publication of the Society for Risk Analysis.

[16]  Irem Dikmen,et al.  Using fuzzy risk assessment to rate cost overrun risk in international construction projects , 2007 .

[17]  E. Forman,et al.  Aggregating individual judgments and priorities with the analytic hierarchy process , 1998, Eur. J. Oper. Res..

[18]  Xiaojun Wang,et al.  A two-stage Fuzzy-AHP model for risk assessment of implementing green initiatives in the fashion supply chain , 2012 .

[19]  Ana Nieto-Morote,et al.  A fuzzy approach to construction project risk assessment , 2011 .

[20]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[21]  S. Pavlyuk Regulation of the Turkish Straits: UNCLOS as an Alternative to the Treaty of Montreux and the 1994 Maritime Traffic Regulations for the Turkish Straits and Marmara Region , 1998 .

[22]  A. Kaufmann,et al.  Introduction to fuzzy arithmetic : theory and applications , 1986 .

[23]  Metin Dağdeviren,et al.  Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management , 2008, Inf. Sci..

[24]  R. Ramanathan,et al.  Group preference aggregation methods employed in AHP: An evaluation and an intrinsic process for deriving members' weightages , 1994 .

[25]  Young-Soo Park,et al.  A Study on Local Traffic Management to Improve Marine Traffic Safety in the Istanbul Strait , 2011, Journal of Navigation.

[26]  G. Crawford,et al.  A note on the analysis of subjective judgment matrices , 1985 .

[27]  Tayfur Altiok,et al.  Simulation-Based Risk Analysis of Maritime Transit Traffic in the Strait of Istanbul , 2009 .

[28]  Torbjørn Rundmo,et al.  Cross-cultural comparisons of traffic safety, risk perception, attitudes and behaviour , 2009 .

[29]  Ludmil Mikhailov,et al.  Deriving priorities from fuzzy pairwise comparison judgements , 2003, Fuzzy Sets Syst..

[30]  Serdar Kum Mental workload of vessel traffic services operator , 2008 .

[31]  Okan Duru,et al.  Use of consistency index, expert prioritization and direct numerical inputs for generic fuzzy-AHP modeling: A process model for shipping asset management , 2012, Expert Syst. Appl..

[32]  José María Moreno-Jiménez,et al.  The geometric consistency index: Approximated thresholds , 2003, Eur. J. Oper. Res..